Image de couverture de livre

Foundation Model for Whole-Heart Segmentation: Leveraging Student-Teacher Learning in Multi-Modal Medical Imaging

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Qayyum, Abdul, Mazher, Moona, Ugurlu, Devran, Lemus, Jose Alonso Solis, Rodero, Cristobal, Niederer, Steven A
Format:	Preprint
Publié:	2025
Sujets:	Image and Video Processing Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Masked Autoencoder Pretraining and BiXLSTM ResNet Architecture for PET/CT Tumor Segmentation
par: Mazher, Moona, et autres
Publié: (2025)

Adenocarcinoma Segmentation Using Pre-trained Swin-UNet with Parallel Cross-Attention for Multi-Domain Imaging
par: Qayyum, Abdul, et autres
Publié: (2024)

Transforming Heart Chamber Imaging: Self-Supervised Learning for Whole Heart Reconstruction and Segmentation
par: Qayyum, Abdul, et autres
Publié: (2024)

Assessment of Left Atrium Motion Deformation Through Full Cardiac Cycle
par: Qayyum, Abdul, et autres
Publié: (2024)

Advancing Medical Image Segmentation with Mini-Net: A Lightweight Solution Tailored for Efficient Segmentation of Medical Images
par: Javed, Syed, et autres
Publié: (2024)

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants
par: Ugurlu, Devran, et autres
Publié: (2025)

Improved 3D Whole Heart Geometry from Sparse CMR Slices
par: Xu, Yiyang, et autres
Publié: (2024)

Human Gaze-based Dual Teacher Guidance Learning for Semi-Supervised Medical Image Segmentation
par: Ge, Rongjun, et autres
Publié: (2026)

Optimizing Prompt Strategies for SAM: Advancing lesion Segmentation Across Diverse Medical Imaging Modalities
par: Wang, Yuli, et autres
Publié: (2024)

M$^4$oE: A Foundation Model for Medical Multimodal Image Segmentation with Mixture of Experts
par: Jiang, Yufeng, et autres
Publié: (2024)

Multiple Teachers-Meticulous Student: A Domain Adaptive Meta-Knowledge Distillation Model for Medical Image Classification
par: Nabavi, Shahabedin, et autres
Publié: (2024)

Foundation AI Model for Medical Image Segmentation
par: Bao, Rina, et autres
Publié: (2024)

Dual Agreement Consistency Learning with Foundation Models for Semi-Supervised Fetal Heart Ultrasound Segmentation and Diagnosis
par: Wang, Fangyijie, et autres
Publié: (2026)

Synthetic Volumetric Data Generation Enables Zero-Shot Generalization of Foundation Models in 3D Medical Image Segmentation
par: Chakrabarty, Satrajit, et autres
Publié: (2026)

Introduction of Medical Imaging Modalities
par: Islam, S. K. M Shadekul, et autres
Publié: (2023)

SynthFM: Training Modality-agnostic Foundation Models for Medical Image Segmentation without Real Medical Data
par: Sengupta, Sourya, et autres
Publié: (2025)

Automating Vessel Segmentation in the Heart and Brain: A Trend to Develop Multi-Modality and Label-Efficient Deep Learning Techniques
par: Elsayed, Nazik, et autres
Publié: (2024)

Medical Image Segmentation Using Directional Window Attention
par: Kareem, Daniya Najiha Abdul, et autres
Publié: (2024)

A unified framework for geometry-independent operator learning in cardiac electrophysiology simulations
par: Zhou, Bei, et autres
Publié: (2025)

Segment Any Tumour: An Uncertainty-Aware Vision Foundation Model for Whole-Body Analysis
par: Peiris, Himashi, et autres
Publié: (2025)

Leveraging Information Divergence for Robust Semi-Supervised Fetal Ultrasound Image Segmentation
par: Wang, Fangyijie, et autres
Publié: (2025)

Preserving Cardiac Integrity: A Topology-Infused Approach to Whole Heart Segmentation
par: Zhang, Chenyu, et autres
Publié: (2024)

MDN: Mamba-Driven Dualstream Network For Medical Hyperspectral Image Segmentation
par: Lin, Shijie, et autres
Publié: (2025)

3D Skin Segmentation Methods in Medical Imaging: A Comparison
par: Paccini, Martina, et autres
Publié: (2025)

Improving Lesion Segmentation in Medical Images by Global and Regional Feature Compensation
par: Wang, Chuhan, et autres
Publié: (2025)

Leveraging Fixed and Dynamic Pseudo-labels for Semi-supervised Medical Image Segmentation
par: Kumari, Suruchi, et autres
Publié: (2024)

MM-DINOv2: Adapting Foundation Models for Multi-Modal Medical Image Analysis
par: Scholz, Daniel, et autres
Publié: (2025)

CATFA-Net: A Trans-Convolutional Approach for Accurate Medical Image Segmentation
par: Mallick, Siddhartha, et autres
Publié: (2026)

Using Diffusion Models to Generate Synthetic Labelled Data for Medical Image Segmentation
par: Saragih, Daniel, et autres
Publié: (2023)

SegRap2025: A Benchmark of Gross Tumor Volume and Lymph Node Clinical Target Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma
par: Fu, Jia, et autres
Publié: (2026)

UNet-3D with Adaptive TverskyCE Loss for Pancreas Medical Image Segmentation
par: Zhang, Xubei, et autres
Publié: (2025)

Domain Influence in MRI Medical Image Segmentation: spatial versus k-space inputs
par: Gösche, Erik, et autres
Publié: (2024)

MaxViT-UNet: Multi-Axis Attention for Medical Image Segmentation
par: Khan, Abdul Rehman, et autres
Publié: (2023)

Cross Modality Medical Image Synthesis for Improving Liver Segmentation
par: Rafiq, Muhammad, et autres
Publié: (2025)

DARCS: Memory-Efficient Deep Compressed Sensing Reconstruction for Acceleration of 3D Whole-Heart Coronary MR Angiography
par: Xue, Zhihao, et autres
Publié: (2024)

Beyond Pixel Agreement: Large Language Models as Clinical Guardrails for Reliable Medical Image Segmentation
par: Sheng, Jiaxi, et autres
Publié: (2025)

USEANet: Ultrasound-Specific Edge-Aware Multi-Branch Network for Lightweight Medical Image Segmentation
par: Gao, Jingyi, et autres
Publié: (2025)

Skill-Evolving Grounded Reasoning for Free-Text Promptable 3D Medical Image Segmentation
par: Zhang, Tongrui, et autres
Publié: (2026)

SemiSAM+: Rethinking Semi-Supervised Medical Image Segmentation in the Era of Foundation Models
par: Zhang, Yichi, et autres
Publié: (2025)

Multi-scale Cascaded Foundation Model for Whole-body Organs-at-risk Segmentation
par: Hao, Rui, et autres
Publié: (2024)